Artificial Intelligence

Motion Planning Under Uncertainty In Highly Deformable Environments RSS 2011 Multi-Bandit Best Arm Identification NeurIPS 2011 Multi-Level Partitioning and Distribution of the Assignment Problem for Large-Scale Multi-Robot Task Allocation RSS 2011 Multiple Instance Filtering NeurIPS 2011 Multiscale Community Blockmodel for Network Exploration AISTATS 2011 Neuronal Adaptation for Sampling-Based Probabilistic Inference in Perceptual Bistability NeurIPS 2011 Non-conjugate Variational Message Passing for Multinomial and Binary Regression NeurIPS 2011 Nonlinear Inverse Reinforcement Learning with Gaussian Processes NeurIPS 2011 Non-Parametric Estimation of Topic Hierarchies from Texts with Hierarchical Dirichlet Processes JMLR 2011 Nonstandard Interpretations of Probabilistic Programs for Efficient Inference NeurIPS 2011 Object Detection with Grammar Models NeurIPS 2011 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011 Online Learning: Beyond Regret COLT 2011 Online Learning of Multiple Tasks and Their Relationships AISTATS 2011 Online Submodular Set Cover, Ranking, and Repeated Active Learning NeurIPS 2011 On Strategy Stitching in Large Extensive Form Multiplayer Games NeurIPS 2011 On the Analysis of Multi-Channel Neural Spike Data NeurIPS 2011 On the Completeness of First-Order Knowledge Compilation for Lifted Probabilistic Inference NeurIPS 2011 On Tracking The Partition Function NeurIPS 2011 Operational Space Control of Constrained and Underactuated Systems RSS 2011 Optimal Distributed Market-Based Planning for Multi-Agent Systems with Shared Resources AISTATS 2011 Optimal Reinforcement Learning for Gaussian Systems NeurIPS 2011 PAC-Bayesian Analysis of Contextual Bandits NeurIPS 2011 Parallel Algorithm for Learning Optimal Bayesian Network Structure JMLR 2011 Parameter Screening and Optimisation for ILP using Designed Experiments JMLR 2011